Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
An effective use of crowding distance in multiobjective particle swarm optimization
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Multiobjective Satisfaction within an Interactive Evolutionary Design Environment
Evolutionary Computation
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
Handling multiple objectives with particle swarm optimization
IEEE Transactions on Evolutionary Computation
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In this paper, an interactive multi-swarm PSO is proposed to handle the multiobjective optimization problems (MOPs). The preference relation of the objectives is specified during the optimization process. The selective pressure in the main swarm is improved by the preference information from the assistant swarm. The simulation results indicate that the proposed algorithm attains better performance of convergence and diversity.